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Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecycle—from business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation.
Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments
To be successful in this role you must have hands-on experience designing and deploying ML models in industry—ideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has worked in environments where regulatory, ethical, and governance considerations were key (e.g., finance, healthcare, public sector), with experience navigating organisational change, risk, and compliance.
You will join a company which is breaking new ground and offering a more intelligent, dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising.
You Will
* Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles
* Take our theoretical course content and tailor it for each individual learner that you are supporting through regular teaching sessions and workshops
* Support your caseload of learners to complete all Corndel training material and assessment tasks in a timely manner
* Ensure that each of your learners is working on their respective qualification, accepts the value of it, is making progress and is actively pursuing it as a means of furthering their career
* Work with key stakeholders to support learner progress and client delight
* Ultimately you will be measured on the number of learners successfully completing the qualification, and the satisfaction of each learner and their line manager with the Corndel programme
* Potential to manage client account relationships from an operational perspective
* Evidence a commitment to the values of Corndel and an understanding of the transformational impact of education.
Responsibilities
* Teaching a cohort of learners, guiding them through their AI Programme.
* Ensuring over 85% of learners achieve their qualification(s) on time.
* Meeting regular milestones for each learner to present a compliant portfolio of evidence.
* Supporting learners to complete their portfolio within the set timescales and to the highest standard possible.
* Timetabling and holding one-to-one teaching sessions regularly.
* Facilitating workshops that engage, motivate and educate the learner.
* Engaging with the learners’ line managers on a quarterly basis to review progress.
* Adhering to all compliance requirements for the qualification
* Supporting the Skills for Business team to engage learners through Maths & English qualification where relevant.
Candidate Profile
Personality and Attitude
* A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification.
* Want to teach and ensure learning is taking place.
* A can-do and upbeat attitude to work, colleagues, clients and managers.
* An inquisitive mind, able to find things out and problem solve.
* Solutions focused with detailed attention to both the outcomes and the inputs to secure them.
* With integrity and standards that mirror those of Corndel – where people and success matter.
* A passion for continued professional and personal development and a desire and pleasure in seeing others develop and succeed.
* A person who wants to make a difference.
Technical Skills
Required Knowledge and experience
Minimum Technical Skills Required
* Confident user of MSTeams
* Strong applied experience in machine learning and/or data science roles
* Solid understanding of MLOps and production deployment practices
* Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow)
* Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools)
* Understanding of ethical frameworks, explainability, and governance in AI
* Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences.
* Coaching Mindset: Passionate about guiding learners and supporting their digital development.
* Change Management & AI Adoption: Understanding of how organisations respond to technological change, with the ability to support learners in overcoming resistance and driving AI adoption.
* Results-Oriented & Supportive: Committed to learner success, providing high-quality feedback and additional support to ensure competency.
* Continuous Learner: Proactively engages with emerging digital and AI trends, maintaining expertise in evolving tools and technologies.
* Experience delivering training in a corporate or professional development setting.
* Strong ability to adapt content and delivery style to different audience levels.
Additional Ideal Technical Skills Required
* Digital engagement tools (menti/Miro/Whiteboarding etc)
* Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable)
* Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Education and Training
* Industries
Human Resources Services
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